Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:51:44.288495Z
Paper Citation Record · LEDGER
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge
As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.03614.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact2
- verified fuzzy23
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c85b7036-8dfd-41cb-bb95-ac89f22716c6 · outbound
This paper cites Histological grading and prognosis in breast cancer: a study of 1409 cases of which 359 have been followed for 15 years.British journal of cancer, 11(3):359, 1957.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Histological grading and prognosis in breast cancer: a study of 1409 cases of which 359 have been followed for 15 years.British journal of cancer, 11(3):359, 1957
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.615074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation beb93b75-3b93-4d58-ad08-a1a773729c7f · outbound
This paper cites Mitosis domain generalization in histopathology images -- The MIDOG challenge.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Mitosis domain generalization in histopathology images -- The MIDOG challenge
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:51:44.342956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1cd212a3-e456-409b-818e-7d78db1ea98a · outbound
This paper cites Mitosis domain generalization challenge 2022.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Mitosis domain generalization challenge 2022
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.603977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7334e380-131e-4ec5-80fa-585cbd5f7261 · outbound
This paper cites Measuring domain shift for deep learning in histopathology.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Measuring domain shift for deep learning in histopathology
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.593494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 351333b4-1d73-4b7f-9d23-8b943a451ff9 · outbound
This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Fixmatch: Simplifying semi- supervised learning with consistency and confidence
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.582511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b5cdacad-44d3-438b-a194-e6df63d1b990 · outbound
This paper cites Whole-slide mitosis detection in h&e breast histology using phh3 as a reference to train distilled stain- invariant convolutional networks.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Whole-slide mitosis detection in h&e breast histology using phh3 as a reference to train distilled stain- invariant convolutional networks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.571703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38c98d89-f428-4b6f-b609-2037b8dc1f58 · outbound
This paper cites Challenging mitosis detection algorithms: Global labels al- low centroid localization.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Challenging mitosis detection algorithms: Global labels al- low centroid localization
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.561195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bc416294-9065-40cd-930b-35d937b18d64 · outbound
This paper cites A comprehensive multi-domain dataset for mitotic figure detection.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge A comprehensive multi-domain dataset for mitotic figure detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.550364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4ce163c1-c2cf-404e-ab6f-50c3728f2abd · outbound
This paper cites A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.540072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8ad1d93-083f-4ef9-bad8-3f74c883dc09 · outbound
This paper cites A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.529787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 48b1a425-dfc0-4f2a-aa0d-9f7839f5eeaf · outbound
This paper cites Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and clas- sification.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and clas- sification
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.518922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 82be3ca9-c6a1-4c1f-b279-22837964659c · outbound
This paper cites Pre- dicting breast tumor proliferation from whole-slide images: the tupac16 challenge.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Pre- dicting breast tumor proliferation from whole-slide images: the tupac16 challenge
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.507179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 40d2de20-174c-4d80-a052-b93bb4548b74 · outbound
This paper cites Are pathologist-defined labels reproducible? com- parison of the tupac16 mitotic figure dataset with an alternative set of labels.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Are pathologist-defined labels reproducible? com- parison of the tupac16 mitotic figure dataset with an alternative set of labels
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.496121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0aad5643-59b2-4c5e-87dc-e30b2b2e34b3 · outbound
This paper cites His- tologic dataset of normal and atypical mitotic figures on human breast cancer (ami-br).
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge His- tologic dataset of normal and atypical mitotic figures on human breast cancer (ami-br)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.485205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 18165251-5a6d-42e6-8fae-92bc0339a52a · outbound
This paper cites A dataset of atypical vs normal mitoses classification for midog - 2025, April 2025.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge A dataset of atypical vs normal mitoses classification for midog - 2025, April 2025
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.474007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fd969287-f130-4775-b0b4-cec122d6d8ae · outbound
This paper cites Omg-octo atypical: A refinement of the original omg-octo database to incorporate atypical mitoses, July 2025.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Omg-octo atypical: A refinement of the original omg-octo database to incorporate atypical mitoses, July 2025
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.463151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 17483065-47c7-428e-9a10-dc600704ce3c · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge U-net: Convolutional networks for biomedical image segmentation
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0001b8f2-4a5f-4a9f-935f-3d9dea8af2f2 · outbound
This paper cites Cbam: Convolutional block attention module.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Cbam: Convolutional block attention module
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.444446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e4bdc44-6ab1-4e9b-8345-34deaf4fbe63 · outbound
This paper cites A method for normalizing histology slides for quantitative analysis.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge A method for normalizing histology slides for quantitative analysis
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.431361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1f9348e5-8a8c-4fce-ac41-b9c8291c6e57 · outbound
This paper cites A threshold selection method from gray-level histograms.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge A threshold selection method from gray-level histograms
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.420009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2401d49c-b17c-4f58-9285-c7dc15780dfa · outbound
This paper cites A simple framework for contrastive learning of visual representations.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge A simple framework for contrastive learning of visual representations
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.409527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4d37eaed-3698-42ea-b3c9-0bf250579948 · outbound
This paper cites Domain-adversarial training of neu- ral networks.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Domain-adversarial training of neu- ral networks
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.399077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b44b4624-8d56-4d9d-8bb8-dd2a4d1c2e5d · outbound
This paper cites Unsupervised domain adaptation by backpropagation.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Unsupervised domain adaptation by backpropagation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.388319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 794ee0af-ea96-4b48-8391-fea0d8ef826f · outbound
This paper cites Deep residual learning for image recognition.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Deep residual learning for image recognition
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:51:44.277353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66a28d1d-6637-496c-96e4-e73bdd116587 · outbound
This paper cites Squeeze-and-excitation networks.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Squeeze-and-excitation networks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:51:44.280291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61a18c84-b177-4835-aac0-046031e19ff8 · outbound
This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced segmen- tations.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Generalised dice overlap as a deep learning loss function for highly unbalanced segmen- tations
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.365213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 25556ae1-4803-4427-88dd-aca962c84147 · outbound
This paper cites What’s the point: Seman- tic segmentation with point supervision.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge What’s the point: Seman- tic segmentation with point supervision
Reference 27
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- verified fuzzy
- raw_fallback, observed 2026-08-05T10:51:44.354269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0696d58f-96c2-42d6-bc4b-a42104b12cb8 · outbound
This paper cites Bertram, Katharina Breininger, Dominik Hirling, Peter Horvath, Nikolas Stathonikos, and Mitko Veta.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Bertram, Katharina Breininger, Dominik Hirling, Peter Horvath, Nikolas Stathonikos, and Mitko Veta
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:51:44.288495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eba6f50-cfa4-4999-8f65-fccd8bb4cac8 · outbound
This paper cites an unresolved cited work.
Teacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge Unresolved cited work
Reference 2022
- Resolution
- verified exact
- doi, observed 2026-08-05T10:51:44.325889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.